Google Antigravity Workflow That Actually Works in Production
Using AI to build software has moved past simple code suggestions. Google DeepMind’s Antigravity feels like the first tool that genuinely rethinks how developers work — not just how they write code.
After walking through Antigravity end-to-end, from onboarding to shipping a real app, one thing became clear:
this isn’t just an editor with AI bolted on it’s a full production workflow.
Here’s how to use Google Antigravity in a way that actually works in real-world development.
What Is Google Antigravity?
Antigravity is a single product surface that combines:
- An AI agent manager
- A full-featured code editor
- An AI-powered browser that can test your app automatically
Instead of switching between tools, tabs, and mental context, Antigravity keeps everything connected code, reasoning, research, and verificatio
The Three Surfaces That Matter
Antigravity is built around three core workspaces:
1. Agent Manager
This is the control center.
You create, manage, and monitor AI agents here — across all your projects.
Agents can:
- Run terminal commands
- Research APIs
- Generate code
- Test features in the browser
- Produce structured reports (not just code dumps)
At any time, you can jump into the editor and take over manually.
2. The Editor
The editor feels familiar autocomplete, tabs, inline suggestions — but it’s context-aware across your entire workspace.
You can:
- Accept suggestions with a single keystroke
- Refactor live code using full project context
- Seamlessly switch between AI-written and human-written code
The key difference: the editor understands why code exists, not just how to write it.
3. The AI Browser
This is where Antigravity really stands out.
The browser:
- Runs inside Chrome
- Lets the agent click, scroll, and interact with your app
- Tests features the same way a real user would
- Captures screenshots, recordings, and verification steps
Instead of saying “trust me, it works”, the agent proves it works.
Agent-Assisted Development (The Right Way)
Antigravity introduces a powerful concept:
Agent-assisted development.
Here’s how it works in practice:
- Simple tasks → agent completes autonomously
- Complex tasks → agent asks clarifying questions
- High-risk changes → agent pauses for approval
This creates a balance where:
- You stay in control
- The agent handles the boring or repetitive work
- Nothing changes without visibility
It feels less like “AI guessing” and more like delegating to a careful junior developer.
Agent-Assisted Development (The Right Way)
To test Antigravity properly, we built a Next.js flight tracker app from scratch.
Step 1: Scaffold the App
The agent:
- Created a new Next.js project
- Generated initial UI
- Used a mock flight API for fast iteration
All of this happened without babysitting.
Step 2: Artifacts (This Is Huge)
Instead of dumping code, the agent produced artifacts:
- Task List – tracks progress
- Implementation Plan – explains what will be built before changes happen
- Walkthrough – proves what was done after completion
This makes reviewing AI work actually feasible in production.
Step 3: Browser-Based Testing
Once the app was running, the agent:
- Launched the dev server
- Opened the browser
- Entered real flight numbers
- Tested valid and invalid states
- Recorded the entire flow
No screenshots pasted into Slack.
No “it should work.”
Just evidence.
Parallel Work = Real Productivity
While one agent researched the AviationStack API, another:
- Designed multiple logo options
- Generated favicons
- Updated the site title
You can leave comments mid-task (like Google Docs), and the agent intelligently incorporates them at the right time.
This is where Antigravity feels like true multitasking, not just faster typing.
From Mock Data to Live APIs
The transition from mock data to live API data was seamless:
- Agent researched documentation
- Ran real curl requests using the provided API key
- Generated typed utility functions
- Migrated UI components to new schemas
- Verified everything in the browser
Because the agent had:
- Full codebase context
- Internet documentation
- Runtime access
…the migration took minutes, not hours.
Shipping the Final Feature: Google Calendar Integration
The final step:
“Make each flight card clickable and add it to Google Calendar.”
The agent:
- Implemented calendar link generation
- Updated UI interactions
- Tested the flow in the browser
- Generated a walkthrough with proof
Then Antigravity generated a context-aware Git commit message, no more writing “fix stuff” commits.
What Actually Makes Antigravity Production-Ready
Here’s why this workflow works in real teams:
- Plans before changes
- Proof after execution
- Human approval at the right moments
- Parallel work without chaos
- Browser-based testing built-in
AI isn’t replacing developers here — it’s removing friction.
Final Thoughts
Google Antigravity feels like a glimpse into the future of development:
- Less tool switching
- More intent-driven work
- Clear reasoning and verification
- AI that works with you, not around you
If this is where developer tools are heading, the real skill won’t be writing more code
it’ll be knowing how to direct intelligent systems effectively.
And honestly?
That’s a future worth getting excited about.
Frequently Asked Questions (FAQ)
1. What is Google Antigravity?
Google Antigravity is an AI-powered development environment by Google DeepMind that combines an agent manager, code editor, and browser-based testing into a single workflow for developers.
2. How is Google Antigravity different from tools like Cursor or GitHub Copilot?
Unlike traditional AI code assistants, Google Antigravity manages entire tasks end-to-end. It plans changes, writes code, tests features in a real browser, and produces verification artifacts before you ship.
3. Is Google Antigravity ready for production use?
Yes. Google Antigravity is designed with production workflows in mind, including implementation plans, human approval checkpoints, browser-based testing, and detailed walkthroughs for verification.
4. Can Google Antigravity test applications automatically?
Yes. Antigravity includes an AI-controlled browser that can interact with your application, click UI elements, test flows, validate edge cases, and generate screenshots or recordings as proof.
5. What are artifacts in Google Antigravity?
Artifacts are structured documents generated by the agent, such as task lists, implementation plans, and walkthrough reports. They provide transparency into what the AI is doing and how changes were verified.
6. Does Google Antigravity support parallel AI agents?
Yes. You can run multiple agents simultaneously to handle research, coding, design, and testing tasks in parallel while you focus on higher-level decisions.
7. Is Google Antigravity suitable for beginners?
Yes, but it’s especially powerful for intermediate and experienced developers who understand how to review code, approve plans, and guide AI agents effectively.
8. Can Google Antigravity integrate with real APIs?
Yes. Antigravity agents can research API documentation, run real curl requests, generate typed utilities, and integrate live APIs into your application.
9. Is Google Antigravity secure for sensitive code?
Antigravity includes approval gates and visibility into every action the agent takes. However, like any AI tool, sensitive areas such as authentication, payments, and security should always be manually reviewed.
